2 citations · 2 across the 5 of their papers we have counts for
5 papers
Explanations Leak: Membership Inference with Differential Privacy and Active Learning Defense
Fatima Ezzeddine, Osama Zammar, Silvia Giordano +1
Counterfactual explanations (CFs) are increasingly integrated into Machine Learning as a Service (MLaaS) systems to improve transparency; however, ML models deployed via APIs are a…
Fair Recourse for All: Ensuring Individual and Group Fairness in Counterfactual Explanations
Fatima Ezzeddine, Obaida Ammar, Silvia Giordano +1
Explainable Artificial Intelligence (XAI) is becoming increasingly essential for enhancing the transparency of machine learning (ML) models. Among the various XAI techniques, count…
Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising
Tomasz Szandala, Fatima Ezzeddine, Natalia Rusin +2
Artificial Intelligence-generated content has become increasingly popular, yet its malicious use, particularly the deepfakes, poses a serious threat to public trust and discourse.…
Machine Learning-based Early Detection of Potato Sprouting Using Electrophysiological Signals
Davide Andreoletti, Aris Marcolongo, Natasa Sarafijanovic Djukic +8
Accurately predicting potato sprouting before the emergence of any visual signs is critical for effective storage management, as sprouting degrades both the commercial and nutritio…
Designing for Complementarity: A Conceptual Framework to Go Beyond the Current Paradigm of Using XAI in Healthcare
Elisa Rubegni, Omran Ayoub, Stefania Maria Rita Rizzo +7
The widespread use of Artificial Intelligence-based tools in the healthcare sector raises many ethical and legal problems, one of the main reasons being their black-box nature and…